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Join the Algolia MCP Server Challenge: $3,000 in Prizes!
Publish Date: Jul 10
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We are thrilled to partner with Algolia, one of our amazing Diamond Sponsors, for an exciting new DEV challenge that explores the cutting edge of AI-powered search.
Running through July 27, the Algolia MCP Server Challenge invites you to explore the intersection of AI and search technology using Algolia's Model Context Protocol (MCP) server. Whether you're focused on enhancing search capabilities or building intelligent user experiences, this challenge offers creative opportunities to innovate with search-powered solutions.
We have one prompt for this challenge, but three opportunities to win!
Our Prompt
Your mandate is to build with the Algolia MCP Server. Focus on building something that showcases the power of Algolia's MCP server in whatever way inspires you most.
If you're someone who appreciates a bit more direction, you can consider our additional prize categories below.
Additional Prize Categories
Backend Data Optimization: Awarded to a top submission that focuses on backend data enrichment by integrating with other 3rd party AI tools like Claude Desktop, n8n workflows, etc.
Ultimate User Experience: Awarded to a top submission with a compelling user-facing application that uses the Algolia MCP server to retrieve information to deliver intelligent responses.
Prizes
Our overall prompt winner and additional prize categories winners will each receive:
All Participants with a valid submission will receive a completion badge on their DEV profile.
How To Participate
In order to participate, you will need to publish a post using the submission template below. All submissions must utilize the Algolia MCP server, include a GitHub repo of the project code, and a short explainer video.
Please review our full rules, guidelines, and FAQ page before submitting so you understand our participation guidelines and official contest rules such as eligibility requirements.
Helpful Resources
We encourage all participants to join the Algolia Discord Server to connect with their team and developers building with Algolia!
This repository contains experimental Model Context Protocol (or MCP) servers for interacting with Algolia APIs. We're sharing it for you to explore and experiment with.
Feel free to use it, fork it, or build on top of it — but just know that it's not officially supported by Algolia and isn't covered under our SLA.
We might update it, break it, or remove it entirely at any time. If you customize or configure things here, there's a chance that work could be lost. Also, using MCP in production could affect your Algolia usage.
If you have feedback or ideas (even code!), we'd love to hear it. Just know that we might use it to help improve our products. This project is provided "as is" and "as…
I've been playing around with the Algolia MCP myself the last few days (on the "Movies" sample data set). I'm really excited to see what the community builds!
I actually made it work with WSL on Windows and connecting MCP that runs on WSL with Claude Desktop.
Can drop a video on YT how to do it, or make pull request on Algolia install tutorial file if you think would be useful.
Super cool prompt, I love how open-ended it is - I'm already brainstorming ways to blend external AI tools into search workflows. Anyone else planning to experiment with connecting n8n or Claude for backend magic?
Successfully set up the MCP server on Windows 10 and connected it to Gemini CLI - absolutely mesmerizing to watch the LLM work with databases!
The way it handles table creation, data management, and index operations is truly virtuosic.
This kind of AI-database integration feels like glimpsing the future of development. Great work on making this accessible!
I had a quick question regarding the MCP server. Since the Model Context Protocol is an open standard, would it be acceptable and encouraged to build a custom Algolia MCP server implementation in Java (e.g., with Spring Boot) for the challenge, instead of using the provided Node.js or Go reference implementations?
Hey everyone. I submitted project for this challenge.
But wanted to ask anyone from Algolia if there is anything they have in mind would be great to create, but didn't have time or resources to create.
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I've been playing around with the Algolia MCP myself the last few days (on the "Movies" sample data set). I'm really excited to see what the community builds!